code: def _to(cls, arg0, device):
      if isinstance(device, str):
          device = torch.device(device)
      assert isinstance(device, torch.device)
      return cls._wrap(
          arg0.shape,
          arg0.__values.to(device=device),
          arg0.__row_indices.to(device=device),
          arg0.__row_offsets.to(device=device),
          arg0.__column_indices.to(device=device),
          tuple(t.to(device=device) for t in arg0.__transp_info),
      )
  
imports: import torch
  from xformers.ops import masked_matmul
  from xformers.sparse import _csr_ops
  from xformers.sparse.utils import _csr_to_coo, _dense3d_to_sparse, _diffsort, _get_transpose_info, _transpose_with_info
label_desc: Use image node_id 16 for calling the SparseCSRTensor obj's underlying member method code with example usage: obj._to(cls, arg0, device) and returns: cls